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All Journal TESLA: Jurnal Teknik Elektro Jurnal Tunas Jurnal Pengabdian Masyarakat (ABDIRA) EXPLORE KREATIF: Jurnal Pengabdian Masyarakat Nusantara International Journal of Electrical and Intelligent Engineering
Dyah Ariyanti
Universitas Panca Marga
Aerospace Engineering Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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Pemberdayaan Usaha Mikro Kecil Menengah Bakpia Kirana di Masa Pandemi Covid-19 Dyah Ariyanti; Nuzul Hikmah; Ahmad Izzuddin; Fitria Esa; Marsetio Wahyu N; Ahmad Fadillah; Rizqy Amalia; Miranti Dian P; Syahrian Barret Y.P
Jurnal TUNAS Vol 3, No 1 (2021): Edisi November
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jtunas.v3i1.36

Abstract

Micro, Small, and Medium Enterprises during the Covid-19 pandemic is due to the reduction of workers in several companies. Micro, Small and Medium Enterprises, also known as MSMEs, are groups that already have small-scale businesses. MSMEs have the potential to grow large so that they are able to absorb labor and reduce unemployment. For this reason, it is necessary to empower this business group to grow well. One of the MSME products in traditional food is Bakpia. The target for this research is Bakpia Kirana MSMEs. This study aims to answer how the process, benefits, and impact of empowering MSME Bakpia Kirana. To identify these problems, the researchers used a qualitative approach, using the method of instrumental observation, in-depth interviews, and documentation. The data analysis used is the data analysis of the Miles and Huberman model which consists of data reduction, data presentation, and drawing conclusions. The results of the study show that Bakpia Kirana managers benefit from empowering MSMEs through capital, infrastructure, marketing support, non-material support, and always reminding them of the main objectives of each activity carried out, and the impact of empowerment has both positive and negative effects. The positive impacts obtained include having income, having more skills, being able to develop a business. The negative impacts include a lot of trade competition among bakpia products which is a benchmark between managers.
RANCANG BANGUN PROTOTYPE ALAT PENDETEKSI TINGKAT KEKERUHAN DAN MENGUKUR DEBIT AIR PADA KOLAM LELE MENGGUNAKAN ARDUINO UNO Rio Dwi Heri K; Ira Aprilia; Dyah Ariyanti
TESLA: Jurnal Teknik Elektro Vol 23, No 1 (2021): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/tesla.v23i1.9227

Abstract

Catfish cultivation activities have become the livelihood of most communities. There are also communities that make catfish ponds as side businesses, some make fish ponds as fishing ponds and some that make catfish ponds because of the hobby of the community. In catfish ponds there are several things to be aware of, among others, water quality and drainage in ponds, where catfish growers pay less attention to the quality of water in the pond so that fish production becomes decreased and also water drainage in the water filling is still done manually. So in this study has been made a noise level detection tool and measuring the volume of water using Light Dependent Resistor  (LDR) sensor and Ultrasonic sensor, where the LDR sensorasa meter ofturbidity level. When the LDR sensor  detects the noise then the water will be drained. And ultrasonic sensors as a water volume gauge that will serve to detect the volume of water when the water is drained and when filling water. The system uses the Arduino Uno microcontroller as a controller of the LDR sensor and the Ultrasonic sensor.The test percentage reached 85.71%, and the readings of the LDR sensor murky water > 110, medium water 70-100, and clear water 40-60. While ultrasonic sensor readings the maximum water volume limit is 16.5 liters and the minimum water volume limit is 3 liters. This test is carried out on the aquarium.ABSTRAK:Kegiatan budidaya ikan lele sudah menjadi mata pencaharian sebagian besar masyarakat. Ada juga masyarakat yang menjadikan kolam ikan lele sebagai usaha sampingan, ada juga yang menjadikan kolam ikan sebagai usaha tempat pemancingan dan ada juga yang menjadikan kolam ikan lele karena hobby dari masyarakat. Pada kolam lele terdapat beberapa hal yang harus diperhatikan antara lain, kualitas air dan pengurasan pada kolam, dimana pembudidaya lele kurang memperhatikan kualitas air pada kolam sehingga produksi ikan menjadi menurun dan juga pengurasan air pada pengisian air masih dilakukan secara manual. Maka pada penelitian ini telah dibuat alat pendeteksi tingkat kekeruhan dan mengukur volume air yang menggunakan sensor Light Dependent Resistor (LDR) dan sensor Ultrasonik, sensor LDR ini  sebagai pengukur tingkat kekeruhan. Ketika sensor LDR mendeteksi kekeruhan maka air akan terkuras. Dan sensor Ultrasonik sebagai pengukur volume air yang akan berfungsi mendeteksi volume air disaat air terkuras dan disaat pengisian air. Sistem ini menggunakan mikrokontroler Arduino Uno sebagai pengontrol dari sensor LDR dan sensor Ultrasonik. Presentase uji coba yang dilakukan mencapai 85.71%, dan hasil pembacaan sensor LDR air keruh > 110, air sedang 70-100, dan air jernih 40-60. Sedangkan hasil pembacaan sensor Ultrasonik batas maksimal volume air 16,5 liter dan batas minimal volume air 3 liter. Pengujian ini dilakukan pada akuarium.
Penerapan Teknik Data Mining untuk Clustering Armada pada PT. Siaga Transport Indonesia Menggunakan Metode k-Means Nuzul Hikmah; Dyah Ariyanti; Melista Sugesti
Jurnal Explore Vol 9, No 1 (2019)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.57 KB) | DOI: 10.35200/explore.v9i1.116

Abstract

PT. Siaga  Transport Indonesia adalah perusahaan yang bergerak dibidang expedisi. Armada menjadi aset penting untuk perusahaan yang bergerak di bidang ini. Beratnya muatan yang diangkut, jauhnya jarak yang ditempuh, dan usia armada menjadi faktor penyebab kerusakan armada. Hal ini berpengaruh terhadap potensi armada. Untuk itu diperlukan analysis clustering menggunakan metode k-means untuk mengetahui armada yang potensial dan yang kurang potensial. Clustering merupakan teknik pengelompokkan objek yang didasarkan pada kemiripan antar objek dalam satu cluster. K-means merupakan metode clustering yang mempunyai kemampuan mengelompokkan data dalam jumlah cukup besar dengan waktu komputasi yang relatif cepat dan efisien. Dalam penelitian ini sistem akan mengelompokkan 33 armada dengan menggunakan variabel biaya operasional, tahun kendaraan, produktivitas armada dan kilometer armada menjadi 3 kelompok dengan kategori cluster armada berpotensi rendah, sedang dan tinggi. Dari hasil akhir sistem diketahui cluster 1 atau armada dengan potensi rendah ada 7 armada, cluster 2 atau armada dengan potensi sedang ada 14 armada, cluster 3 atau armada dengan potensi tinggi ada 12 armada. Pengujian dilakukan dengan metode silhouette coefficient dengan rentang variasi nilai yang dihasilkan yaitu dibawah nol sampai dengan 0,9.
Pendampingan Pembuatan Proposal Riset Menuju LKIR di MAN 2 Kota Probolinggo Dyah Ariyanti; Hermin Arista; Ary Analisa Rahma; Indro Wicaksono; Linda Kurnia Supraptiningsih; Ira Aprilia; Dwi Putri Kartini
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 2, No 3 (2022): Abdira, Juli
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v2i3.180

Abstract

The purpose of this community service activity is to provide assistance in making research proposals for scientific papers that will be included in the MYRES competition. The research proposals that have been collected will be selected based on several components, such as aspects of the originality of the idea, the novelty of the idea, the relevance of the theory and theoretical studies used, research methods, benefits for the wider community, as well as coherence and writing techniques. The method of implementing this community service activity is advocacy, which consists of the stages of planning, implementing and evaluating. There are three areas of research, namely the field of mathematical science and technology development; social and humanitarian spheres (social and humanities); and the field of religious science. Based on the evaluation of the implementation results, from 11 classes, 115 proposal titles were collected submitted by the group of students who were prospective participants in the competition and will be selected into the best 40 to be included in the competition. Furthermore, the team selected the proposal into 6 best titles that will be funded by madrasahs as a product of research including the best 2 each in each field of MYRES.
Identifikasi Hama dan Penyakit Pada Bawang Merah Menggunakan Metode Fuzzy Sugeno Berbasis Android Ira Aprilia; Dyah Ariyanti; Anggy Febriany
Jurnal Explore Vol 8, No 1 (2018)
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/explore.v8i1.156

Abstract

Produktivitas bawang merah di Indonesia dari tahun ketahun masih rendah dari produktivitas maksimum khususnya di kabupaten Probolinggo karena disebabkan oleh serangan hama dan penyakit sehingga kerap kali menurunkan nilai ekonomis serta mutu bawang merah. Kurangnya informasi untuk para petani khusunya petani pemula pada tanaman bawang merah mengakibatkan terlambatnya penanggulangan untuk mencegah serangan hama dan penyakit pada tanaman bawang merah. Oleh karena itu dengan adanya kemajuan teknologi informasi saat ini, para petani bisa mengetahui dengan mudah informasi mengenai hama dan penyakit bawang merah serta cara pengendaliannya. Pada paper ini menghasilkan sebuah aplikasi identifikasi hama dan penyakit pada bawang merah menggunakan metode fuzzy sugeno berbasis android  menggunakan bahasa pemograman Java dengan menguji 16 data pakar. Dari hasil pengujian system aplikasi ini, peneliti mendapatkan tingkat keakurasian sebesar 93,75% dengan rincian 15 data akurat dan 1 data tidak akurat.
Pemberdayaan Posyandu Melalui Digitalisasi dan Penguatan Kapasitas Kader dalam Pencegahan Stunting di Desa Jabung Sisir Ahmad Izzuddin; Nuzul Hikmah; Agustina Widayati; Yustina Suhandini Tj; Ira Aprilia; Andrik Sunyoto; Dyah Ariyanti; Faridahtul Jannah; Noer Fika Dita; Muhammad Hasan Fathul Arifin; Ali Masykur Ibrahim
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 1 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i1.9272

Abstract

Stunting is a serious health issue in Indonesia, with a national prevalence of 21.6 percent. Probolinggo Regency in East Java also records a high prevalence rate, reaching 17.3 percent. The main factors contributing to stunting are limited access to health services and nutrition. The Posyandu (Integrated Health Post) plays a crucial role in prevention efforts but faces challenges in management and cadre skills, particularly in data recording and nutritional status measurement. Jabung Sisir Village in Probolinggo Regency was selected as the community partner for empowerment through a program of Posyandu digitalization and cadre capacity building. The aim of this activity is to improve cadre literacy on stunting and to provide an effective digital reporting system to support prevention and control efforts. The implementation method consisted of cadre training on stunting literacy, anthropometric techniques, effective communication, and the use of a web- and Android-based Posyandu Information System. The program was followed by cadre mentoring as well as evaluation through pre-tests, post-tests, and periodic monitoring. The results showed an increase in cadre knowledge, anthropometric measurement skills, and the ability to use digital systems for data recording and reporting. These findings highlight that Posyandu digitalization can strengthen cadre capacity in stunting prevention while serving as an innovative model for enhancing community-based health services.
Android-Based Weed Identification and Herbicide Recommendation Using Convolutional Neural Networks Ahmad Izzuddin; Ryan Prayuga Ardiansyah; Andrik Sunyoto; Dyah Ariyanti; Ira Aprilia
International Journal of Electrical and Intelligent Engineering Vol 1, No 2 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i2.40594

Abstract

Weed infestation reduces crop yield and quality, while inappropriate herbicide selection often limits effective control. This paper presents the design and implementation of an Android-based decision-support application for weed identification and herbicide recommendation using a smartphone camera. Weed images are classified using a lightweight Convolutional Neural Network with a MobileNetV2 architecture optimized for mobile deployment. Herbicide recommendations are generated using the Cosine Similarity method to associate identified weed characteristics with suitable control agents. The system is modeled using the Unified Modeling Language (UML) to ensure modularity and scalability. Experimental results show that the proposed CNN model achieves a classification accuracy of 96%. The integrated on-device image acquisition and intelligent recommendation enable practical field deployment, providing an efficient tool to support weed management decisions.
Co-Authors Agustina Widayati Ahmad Fadillah Ahmad Izzuddin Ali Masykur Ibrahim Andrik Sunyoto Anggy Febriany Arif Rahman Abdillah Ary Analisa Rahma Cinta Liana Dwi Firmansyah Dwi Putri Kartini Dwi Putri Kartini Faridahtul Jannah Fitria Esa Hermin Arista Imam Marzuki Indro Wicaksono Ira Aprilia Linda Kurnia Supraptiningsih Marsetio Wahyu N Melista Sugesti Miranti Dian P Muhammad Hasan Fathul Arifin Noer Fika Dita Nuzul Hikmah Rio Dwi Heri K Rizqy Amalia Ryan Prayuga Ardiansyah Syahrian Barret Y.P Syura Utama Putra Yustina Suhandini Tj